kiranpantha/pretrain-whisper-tiny-nepali-parliamentDS

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pretrain-whisper-tiny-nepali-parliamentDS

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

• —Cer: 300.2582
• —Loss: 1.5477
• —Wer: 323.4414

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.001
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 4000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.47.1
• —Pytorch 2.6.0+xpu
• —Datasets 3.2.0
• —Tokenizers 0.21.0